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arXiv Computer Vision By Zhongnan Shi, Keyang Zhou, Siyi Li, Qichao Ying, Xinchen Ma, Shuyi Gong, Wei Tang, Sheng Li, Zhenxing Qian

MATS: A Multi-Agent Framework for Controllable and Reflective Tumor Synthesis

Read the original on arXiv Computer Vision →

MATS is a multi-agent framework that enables text‑controlled synthesis of realistic tumors across different organs. It profiles the morphological distribution of a target disease, constructs a generation plan that emphasizes underrepresented subtypes, and uses a two‑stage diffusion process to create anatomically valid tumor masks and textures. A closed‑loop reflective mechanism checks attribute alignment at multiple stages and guides re‑generation when necessary, leading to improved downstream segmentation performance on several medical imaging benchmarks.

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